ORIGINAL RESEARCH article

Front. Comput. Sci.

Sec. Human-Media Interaction

Volume 7 - 2025 | doi: 10.3389/fcomp.2025.1595939

Influence of rhythm features on beat/movement synchronization using a low-cost vision system

Provisionally accepted
  • EuroMov Digital Health in Motion IMT Mines Ales, ALES, France

The final, formatted version of the article will be published soon.

This study examines how musical expertise, tempo, and beat division influence synchronization accuracy and regularity in two movement tasks: finger tapping (discrete movements) and arm swing (continuous movements). Using a markerless motion capture system, we analyzed synchronization metrics across different rhythmic conditions. Motion data were extracted via AI-based pose estimation, and synchronization was computed by aligning movement peaks with beat times detected from audio stimuli. Results show that musicians exhibit higher synchronization accuracy and consistency than non-musicians, particularly in finger tapping tasks. Furthermore, simpler beat structures (binary rhythms) and moderate tempos facilitate better synchronization, whereas increased rhythmic complexity and tempo variability reduce performance. Interestingly, finger tapping leads to more precise synchronization than arm swing, suggesting that movement type significantly impacts rhythmic alignment. These findings support applications in therapy, training, and interactive systems, and demonstrate the value of AI-based motion tracking for scalable rhythm analysis.

Keywords: sensorimotor synchronization, music information retrieval, beat tracking, Multi-scale rhythmic, human pose tracking, Motion analysis, motor coordination

Received: 18 Mar 2025; Accepted: 11 Jul 2025.

Copyright: © 2025 Bayd, Guyot, Bardy and Slangen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Hamza Bayd, EuroMov Digital Health in Motion IMT Mines Ales, ALES, France

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